{"id":"W2054681239","doi":"10.1155/2013/340371","title":"Physiotherapists Have Accurate Expectations of Their Patients’ Future Health-Related Quality of Life after First Assessment in a Subacute Rehabilitation Setting","year":2013,"lang":"en","type":"article","venue":"BioMed Research International","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital","funders":"National Health and Medical Research Council; Medical Research Council","keywords":"Intraclass correlation; Rehabilitation; Quality of life (healthcare); Kappa; Algorithm; Cognition; Medicine; Machine learning; Physical therapy; Psychology; Artificial intelligence; Gerontology; Computer science; Psychometrics; Mathematics; Clinical psychology; Psychiatry; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001235643,0.0001157225,0.0003374853,0.0008515236,0.00005414134,0.00001999546,0.0001412622,0.00009811393,0.0006003749],"category_scores_gemma":[0.001108259,0.0000905034,0.0001620768,0.0005001866,0.0002414552,0.0002063837,0.00005451319,0.0003049869,0.00001398088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004777132,"about_ca_system_score_gemma":0.0004406805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006567505,"about_ca_topic_score_gemma":0.0001688966,"domain_scores_codex":[0.9969465,0.0005495489,0.001030441,0.000274165,0.0009493163,0.0002500933],"domain_scores_gemma":[0.9964265,0.00137164,0.0003404491,0.0002359169,0.001483913,0.0001415544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005896324,0.001587603,0.9702989,0.0008592914,0.0001801858,6.241289e-7,0.01093073,0.00001438247,0.00604019,0.0004485377,0.003565954,0.005483907],"study_design_scores_gemma":[0.002208874,0.0004707474,0.9864156,0.0003252907,0.000001271966,4.214713e-7,0.008573934,0.0009979132,0.0001552338,0.0003659302,0.0004149532,0.00006987629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972083,0.0002338683,0.00003725958,0.02559069,0.0004571481,0.001129134,0.000122797,0.00001395923,0.0003320969],"genre_scores_gemma":[0.9965445,0.00006911566,0.002472751,0.00007725711,0.0001265814,0.0003288254,0.0002144971,0.00001546794,0.0001510234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02551343,"threshold_uncertainty_score":0.6573685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04059406673687934,"score_gpt":0.4113295412935008,"score_spread":0.3707354745566215,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}